Your team can build a flashy proof of concept by Friday, but when Monday comes and you need to scale across business units, integrate with legacy systems, and satisfy legal—that's when 90% of AI projects hit the wall.
This webinar delivers the four-pillar blueprint for AI that actually ships and scales:
- Context: Stop prompt engineering. Start building organizational intelligence. Turn scattered data, tools, and institutional knowledge into a living knowledge graph that grounds every AI decision in truth, not hallucinations.
- Evals: The unglamorous superpower. Build measurement systems that catch failures before users do, track what's regressing, and create feedback loops that make your AI systematically better.
- Personalization: Generic AI assistants are forgettable. We'll show you how to make AI indispensable by teaching it your organization's language, role structures, and workflow logic.
- Governance & Safety: The layer everyone punts on. We're tackling it head-on: compliance, privacy, and auditability when every prompt is unpredictable, and every LLM is a black box.
Walk away with: A practical framework to operationalize all four pillars—not theory, but tactics for moving from prototype to production-grade AI systems you can trust, govern, and evolve.
Who should attend: CTOs, heads of AI/data, product leaders, enterprise architects, and anyone in security or compliance who's tired of saying "not yet" to AI deployment.